Noninvasive monitoring of blood glucose concentration in diabetic patients with optical coherence tomography

Lan, Yutao; Kuang, Yan-ping; Zhou, L P; Wu, Gongqing; Gu, P C; Wei, Huajiang; Chen, K

doi:10.1088/1612-202x/aa58c0

Cited by 32 publications

(16 citation statements)

References 39 publications

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“…Optical methods, including microwave spectroscopy [11], optical coherence tomography [12,13], near-infrared (NIR) spectroscopy [14], polarimetry [15], Raman spectroscopy [16,17,18] and fluorescence techniques [19], have been considered as accurate and painless means of blood glucose detection. Among the distinct optical techniques used in glucose measurement, Raman spectroscopy is one of the most promising optical approaches [16,20].…”

Section: Introductionmentioning

confidence: 99%

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

Zang

Sun

et al. 2019

Molecules

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Raman spectra of human skin obtained by laser excitation have been used to non-invasively detect blood glucose. In previous reports, however, Raman spectra thus obtained were mainly derived from the epidermis and interstitial fluid as a result of the shallow penetration depth of lasers in skin. The physiological process by which glucose in microvessels penetrates into the interstitial fluid introduces a time delay, which inevitably introduces errors in transcutaneous measurements of blood glucose. We focused the laser directly on the microvessels in the superficial layer of the human nailfold, and acquired Raman spectra with multiple characteristic peaks of blood, which indicated that the spectra obtained predominantly originated from blood. Incorporating a multivariate approach combining principal component analysis (PCA) and back propagation artificial neural network (BP-ANN), we performed noninvasive blood glucose measurements on 12 randomly selected volunteers, respectively. The mean prediction performance of the 12 volunteers was obtained as an RMSEP of 0.45 mmol/L and R2 of 0.95. It was no time lag between the predicted blood glucose and the actual blood glucose in the oral glucose tolerance test (OGTT). We also applied the procedure to data from all 12 volunteers regarded as one set, and the total predicted performance was obtained with an RMSEP of 0.27 mmol/L and an R2 of 0.98, which is better than that of the individual model for each volunteer. This suggested that anatomical differences between volunteer fingernails do not reduce the prediction accuracy and 100% of the predicted glucose concentrations fall within Region A and B of the Clarke error grid, allowing acceptable predictions in a clinically relevant range. The Raman spectroscopy detection of blood glucose from microvessels is of great significance of non-invasive blood glucose detection of Raman spectroscopy. This innovative method may also facilitate non-invasive detection of other blood components.

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Section: Introductionmentioning

confidence: 99%

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

Zang

Sun

et al. 2019

Molecules

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“…The depth region of 320-460 µm was used to calculate the OCT signal slope. A time lag of 10 mins was observed between a change in blood glucose concentration and an associated change in the OCT signal slope [128]. In another experiment, a time lag of 1-30 min was measured between the OCT signal slope variation and the 225-389 mg/dl change in blood glucose levels of ten female pigs [139].…”

Section: Lag Time Between Blood Glucose Measurements In Plasma Vs Inmentioning

confidence: 95%

“…The combination of light returning from the sample and the reference mirror results in the interferometric signal at the beam splitter. The photodetector collects the interference pattern and the measured intensity is dependent on the glucose concentration at different tissue depths, up to 1.6 mm [128].…”

Section: Optical Coherence Tomographymentioning

confidence: 99%

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Review of Non-Invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone

Shokrekhodaei

Quinones

2020

Sensors

145

109

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Annual deaths in the U.S. attributed to diabetes are expected to increase from 280,210 in 2015 to 385,840 in 2030. The increase in the number of people affected by diabetes has made it one of the major public health challenges around the world. Better management of diabetes has the potential to decrease yearly medical costs and deaths associated with the disease. Non-invasive methods are in high demand to take the place of the traditional finger prick method as they can facilitate continuous glucose monitoring. Research groups have been trying for decades to develop functional commercial non-invasive glucose measurement devices. The challenges associated with non-invasive glucose monitoring are the many factors that contribute to inaccurate readings. We identify and address the experimental and physiological challenges and provide recommendations to pave the way for a systematic pathway to a solution. We have reviewed and categorized non-invasive glucose measurement methods based on: (1) the intrinsic properties of glucose, (2) blood/tissue properties and (3) breath acetone analysis. This approach highlights potential critical commonalities among the challenges that act as barriers to future progress. The focus here is on the pertinent physiological aspects, remaining challenges, recent advancements and the sensors that have reached acceptable clinical accuracy.

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“…They pointed out that the depth-resolved OCT signal allows detection of a specific skin layer without interference from other unwanted layers. Lan and et al applied OCT on diabetic patients and showed that the monitoring results were better than those on healthy subjects [114] based on R values (0.91 for diabetic patients and 0.78 for healthy volunteers).…”

Section: Optical Coherence Tomography (Oct)mentioning

confidence: 99%

Noninvasive Electromagnetic Wave Sensing of Glucose

Zhang¹,

Liu²,

Jin³

et al. 2018

Preprint

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Diabetic patients need long-term and frequent glucose monitoring to assist in insulin intake. The current finger-prick devices are painful and costly which make noninvasive glucose sensors highly demanded. In this review paper, we discuss several advanced electromagnetic (EM) wave based technologies for noninvasive glucose measurement, including infrared (IR) spectroscopy, photoacoustic (PA) spectroscopy, Raman spectroscopy, fluorescence, optical coherent tomography (OCT) and microwave sensing. Development and progress of each method are discussed regarding fundamental principle, system setup and experimental results. Despite the promising achievements reported previously, there is no established product to obtain FDA approval or survive marketing test. Limitations and prospects of these techniques are discussed at the end of this review.

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Noninvasive monitoring of blood glucose concentration in diabetic patients with optical coherence tomography

Cited by 32 publications

References 39 publications

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

A Noninvasive Accurate Measurement of Blood Glucose Levels with Raman Spectroscopy of Blood in Microvessels

Review of Non-Invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone

Noninvasive Electromagnetic Wave Sensing of Glucose

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